A simple method to visualize results in nonlinear regression models

Daniel J. Henderson, Subal C. Kumbhakar, Christopher F. Parmeter

Research output: Contribution to journalArticle

21 Scopus citations

Abstract

A simple graphical approach to presenting results from nonlinear regression models is described. In the face of multiple covariates, 'partial mean' plots may be unattractive. The approach here is portable to a variety of settings and can be tailored to the specific application at hand. A simple four variable nonparametric regression example is provided to illustrate the technique.

Original languageEnglish (US)
Pages (from-to)578-581
Number of pages4
JournalEconomics Letters
Volume117
Issue number3
DOIs
StatePublished - Jan 1 2012

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Keywords

  • Dimensionality
  • Gradient estimation
  • Kernel smoothing
  • Least squares cross validation

ASJC Scopus subject areas

  • Finance
  • Economics and Econometrics

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